A pattern for building personal knowledge bases using LLMs.

This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.

Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.

Guide to getting niri working properly as a session manager with screen recording support.

sudo apt install pipewire wireplumber xdg-desktop-portal xdg-desktop-portal-gnome xdg-desktop-portal-gtk

curl -fsSL https://ollama.com/install.sh | sh

ollama pull glm-4.7-flash # or gpt-oss:20b (for better performance)

Here's a list of mildly interesting things about the C language that I learned mostly by consuming Clang's ASTs. Although surprises are getting sparser, I might continue to update this document over time.

There are many more mildly interesting features of C++, but the language is literally known for being weird, whereas C is usually considered smaller and simpler, so this is (almost) only about C.

struct foo {
   struct bar {
 int x;

This guide documents the steps to enable and configure Thunderbolt networking on your Linux system (e.g., Ubuntu, Proxmox). It covers loading the necessary kernel modules, ensuring persistent interface naming, configuring a fixed IP address, and testing throughput with iperf3. Note that Thunderbolt 3/4 hardware advertises a raw bandwidth of 40 Gbps, but practical throughput is typically lower due to half‑duplex operation, protocol overhead, and system constraints.

This guide was developed and tested with the following hardware:

• CPU: AMD Ryzen 9 PRO 6950H
  • 8 cores / 16 threads
• 3.3 GHz base frequency / 4.94 GHz boost